“We proposed a novel discriminative multi-manifold analysis to solve the problem of face recognition from a single training sample per person,” Lu said. “Most face recognition methods don’t work well or even fail to work when there is only one training sample per person in the database. Our purposed method can effectively solve this problem under this scenario.”